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Using accounting data on French innovative manufacturing firms, we implement appropriate difference-in-difference estimation techniques associated with a matching propensity score procedure.
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Lastly, we did a matched propensity score analysis.
In addition, we did a separate analysis using a matched propensity score approach.
Analyses of these data[ 30] using a matched propensity score model created balanced groups of patients receiving MCB and compounded PN (including measures of severity).
As the main hypothesis will be assessed within a matched propensity score (PS) analysis with a 1 1 matching ratio [ 33], the sample size in the HD group will be doubled to find enough matches for each PD patient.
Furthermore, when assessing the impact of β blocker use on all cause mortality, we performed a matched propensity scoring analysis, which is designed to minimise the effects of confounding by indication.
Besides non-parametric matching, propensity score matching (PSM) is a commonly used matching method.
Then, it was the only study in which a Cox model on a propensity matching cohort was used.
We used a matched pair design with propensity score matching (PSM) to analyze the correlation between government subsidies and injection use.
Using a greedy matching algorithm for propensity matching on the propensity scores from the logistic regression model, covariates were more similar between risk groups within the matched pair subsample, thus reducing the impact of selection in the subsample.
Eventually, every VA supplemented child was matched with a non-supplemented one using a variant of propensity score matching method called Caliper matching (i.e. matching to a control with the nearest propensity score that is within a predefined width).
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